Bhattacharya, Anirban
- Dirichlet-Laplace priors for optimal shrinkage
2014/01/21 by Anirban Bhattacharya, Bhattacharya, Anirban, Debdeep Pati +5 · 11 citations
Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Mathematical Approximation and Integration
- Fast sampling with Gaussian scale-mixture priors in high-dimensional\n regression
2015/06/15 by Anirban Bhattacharya, Bhattacharya, Anirban, Antik Chakraborty +3 · 9 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Frequentist coverage and sup-norm convergence rate in Gaussian process regression
2017/08/16 by Yun Yang, Anirban Bhattacharya, Yang, Yun +3 · 13 citations
Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Statistical Methods and Inference
- Bayesian fractional posteriors
2016/11/03 by Anirban Bhattacharya, Bhattacharya, Anirban, Debdeep Pati +3 · 7 citations
Computer Science · Mathematics · Engineering · #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Control Systems and Identification
- Probabilistic community detection with unknown number of communities
2016/02/25 by Junxian Geng, Anirban Bhattacharya, Geng, Junxian +3 · 6 citations
Physics and Astronomy · Computer Science · Mathematics · #Complex Network Analysis Techniques #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference
- On Statistical Optimality of Variational Bayes
2017/12/25 by Pati, Debdeep, Bhattacharya, Anirban, Yang, Yun · 5 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Optimal Bayesian estimation in random covariate design with a rescaled\n Gaussian process prior
2014/11/26 by Debdeep Pati, Pati, Debdeep, Anirban Bhattacharya +3 · 2 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Bayesian Methods and Mixture Models #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Statistics Theory (math.ST)
- Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors
2019/02/13 by Ray, Pallavi, Pati, Debdeep, Bhattacharya, Anirban · 3 citations
#FOS: Computer and information sciences #Methodology (stat.ME)
- Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors
2020/12/09 by Niloy Biswas, Anirban Bhattacharya, Biswas, Niloy +5 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference
- Bayesian factorizations of big sparse tensors
2013/06/07 by Zhou, Jing, Bhattacharya, Anirban, Herring, Amy +1 · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- On the Convergence of Coordinate Ascent Variational Inference
2023/06/01 by Bhattacharya, Anirban, Pati, Debdeep, Yang, Yun · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-Dimensional Settings
2015/07/25 by Minsuk Shin, Anirban Bhattacharya, Shin, Minsuk +3 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Bayesian sparse multiple regression for simultaneous rank reduction and\n variable selection
2016/12/02 by Antik Chakraborty, Chakraborty, Antik, Anirban Bhattacharya +3 · 1 citation
Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Sparse and Compressive Sensing Techniques #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Signal Adaptive Variable Selector for the Horseshoe Prior
2018/10/21 by Pallavi Ray, Anirban Bhattacharya, Ray, Pallavi +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Decision Sciences · #FOS: Computer and information sciences #Gene expression and cancer classification #Genetic and phenotypic traits in livestock #Methodology (stat.ME) #Optimal Experimental Design Methods
- Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density
2020/02/17 by Su, Ya, Bhattacharya, Anirban, Zhang, Yan +2 · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- Structured Optimal Variational Inference for Dynamic Latent Space Models
2022/09/29 by Zhao, Peng, Bhattacharya, Anirban, Pati, Debdeep +1 · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)